2019-03-07
CSAR Imaging of Electromagnetically Coupled Conducting Scatterers
By
Progress In Electromagnetics Research M, Vol. 79, 113-126, 2019
Abstract
Chipless RFID with small, printed metal tags have been proposed as a cost-effective alternative to chip-based technologies. A potentially viable configuration is to image the patches of different shapes, sizes, and orientations within a tag with a tabletop-scale synthetic aperture radar (SAR), operating in the V or W band. Information is encoded into, e.g. polarization, resonance characteristics, and phase of the scattered signal. The effect of electromagnetic coupling and sidelobe interference between closely spaced metal patches on SAR image has not been addressed in prior studies. To be specific, we analyze 60 GHz circular SAR (CSAR) imagery of subwavelength patches separated by distances on the order of wavelength. The scattered field is calculated with the method of moments (MoM) to account for EM interaction. The field is then used to form CSAR image with the polar formatting algorithm (PFA). Significant distortion of the CSAR image is found at this scale. Sidelobe interference causes image distortion and up to 7 dB of intensity modulation with patch separation. EM coupling produces an ``interaction image,'' an artifact that extends between the patches. The source of this effect is traced to induced currents and charges residing on the patches' inner edges. Increasing system bandwidth or changing the incidence angle has minimal effect on both classes of image artifacts, highlighting the importance of accounting for them in practical system design and subsequent information processing.
Citation
Nicolas A. Guido, Evan T. Hiatt, and Enson Chang, "CSAR Imaging of Electromagnetically Coupled Conducting Scatterers," Progress In Electromagnetics Research M, Vol. 79, 113-126, 2019.
doi:10.2528/PIERM18090201
References

1. Meinel, H. H., "Evolving automotive radar - From the very beginnings into the future," Proc. EuCAP, 3107-3114, The Hague, Netherlands, 2014.        Google Scholar

2. Patole, S., M. Torlak, D. Wang, and M. Ali, "Automotive radars: A review of signal processing techniques," IEEE Signal Proc. Mag., Vol. 34, No. 2, 22-35, Mar. 2017.        Google Scholar

3. Felic, G. K., R. J. Evans, H. T. Duong, H. V. Le, J. Li, and E. Skafidas, "Single-chip millimeter wave radar," Microwave J., Vol. 58, 108-116, Jan. 2015.        Google Scholar

4. Pettus, M., "RFID system utilizing parametric reflective technology,", U.S. Patent 7 460 016, Dec. 2, 2008.        Google Scholar

5. Kofman, S., Y. Meerfeld, M. Sandler, S. Dukler, and V. Alchanatis, "Radio frequency identification system and data reading method,", U.S. Patent 20090014520A1, Jan. 15, 2009.        Google Scholar

6. Pettus, M., "RFID system utilizing parametric reradiated technology,", U.S. Patent, 7 498 940, Mar. 3, 2009.        Google Scholar

7. Curlander, J. C. and R. N. McDonough, Synthetic Aperture Radar: Systems and Signal Processing, John Wiley & Sons, 1991.

8. Carrara, W. G., R. S. Goodman, and R. M. Majewski, Spotlight Synthetic Aperture Radar Signal Processing Algorithms, Artech House, 1995.

9. Chan, Y. K. and V. C. Koo, "An introduction to Synthetic Aperture Radar (SAR)," Progress In Electromagnetics Research B, Vol. 2, 27-60, 2008.        Google Scholar

10. Zomorrodi, M. and N. C. Karmakar, "Optimized MIMO-SAR technique for fast EM-Imaging of chipless RFID system," IEEE Trans. Microw. Theory Techn., Vol. 60, No. 7, 2142-2151, Jul. 2012.        Google Scholar

11. Soumekh, M., "Reconnaissance with slant plane circular SAR imaging," IEEE Trans. Image Process., Vol. 5, No. 8, 1252-1265, Aug. 1996.        Google Scholar

12. Musgrove, C., "Synthetic aperture radar speckle reduction for circle mode SAR images," Proc. SPIE 9829, Radar Sensor Technology XX, May 2016.        Google Scholar

13. Ishimaru, A., T. Chan, and Y. Kuga, "An imaging technique using confocal circular synthetic aperture radar," IEEE Trans. Geosci. Remote Sens., Vol. 36, No. 5, 1524-1530, Sep. 1998.        Google Scholar

14. Devaney, A. J., "Time reversal imaging of obscured targets from multistatic data," IEEE Trans. Antennas Propag., Vol. 53, No. 5, 1600-1610, May 2005.        Google Scholar

15. Therrien, C. W., Discrete Random Signals and Statistical Signal Processing, Prentice Hall, 1992.

16. Stoica, P. and R. Moses, Introduction to Spectral Analysis, Prentice Hall, 1997.

17. Ciuonzo, D., G. Romano, and R. Solimenne, "Performance analysis of time-reversal MUSIC," IEEE Trans. Signal Process., Vol. 63, No. 10, 2650-2662, May 2015.        Google Scholar

18. Ciuonzo, D., "On time-reversal imaging by statistical testing," IEEE Sig. Proc. Lett., Vol. 24, No. 7, 1024-1028, Jul. 2017.        Google Scholar

19. Ciuonzo, P. and P. S. Rossi, "Noncolocated time-reversal MUSIC: High-SNR distribution of null spectrum," IEEE Signal Process. Lett., Vol. 24, No. 4, 397-401, Apr. 2017.        Google Scholar

20. Marengo, E. A., F. K. Gruber, and F. Simonetti, "Time-reversal MUSIC imaging of extended targets," IEEE Trans. Image Process., Vol. 16, No. 8, 1967-1984, Aug. 2007.        Google Scholar

21. Harrington, R. F., Field Computation by Moment Methods, Macmillan, 1968.

22. Rao, S. M., D. R. Wilton, and A. W. Glisson, "Electromagnetic scattering by surfaces of arbitrary shape," IEEE Trans. Antennas Propag., Vol. 30, No. 3, May 1982.        Google Scholar

23. Wilton, D. R., S. M. Rao, and A. W. Glisson, "Electromagnetic scattering by arbitrary surfaces,", Tech. Rep. RADC-TR-79-325, Rome Air Development Center, Griffiss AFB, NY, Mar. 1980.        Google Scholar

24. Davidson, D., Computational Electromagnetics for RF and Microwave Engineering, Cambridge U. Press, 2005.

25. Twersky, V., "Multiple scattering of electromagnetic waves by arbitrary configurations," J. of Mathematical Physics, Vol. 8, No. 3, 589-610, Mar. 1967.        Google Scholar

26. "Method of moments solver for metal structures,", [Online], Available: https://www.mathworks.com/help/antenna/ug/method-of-moments.html.        Google Scholar

27. Stankwitz, H. C., R. J. Dallaire, and J. R. Fienup, "Spatially variant apodization for sidelobe control in SAR imagery," Proc. 1994 IEEE National Radar Conf., Mar. 1994.        Google Scholar

28. Stankwitz, H. C., R. J. Dallaire, and J. R. Fienup, "Nonlinear apodization for sidelobe control in SAR imagery," IEEE Trans. Aerosp. Electron. Syst., Vol. 31, No. 1, 267-279, Jan. 1995.        Google Scholar

29. Stankwitz, H. C. and M. R. Kosek, "Sparse aperture fill for SAR using super-SVA," Proc. 1996 IEEE National Radar Conf., May 1996.        Google Scholar

30. DeGraaf, S. R., "Sidelobe reduction via adaptive FIR filtering in SAR imagery," IEEE Trans. Image Process., Vol. 3, No. 3, 292-301, May 1994.        Google Scholar

31. Högbom, J., "Aperture synthesis with a non-regular distribution of interferometer baselines," Astrophys. J. Suppl. Ser., Vol. 15, 417-426, 1974.        Google Scholar

32. Lannes, A., E. Anterrieu, and P. Marechal, "CLEAN and WIPE," Astron. Astrophys. Suppl. Ser., Vol. 123, 183-198, May 1997.        Google Scholar

33. Zhang, W., A. Hoorfar, and L. Li, "Through-the-wall target localization with time reversal MUSIC method," Progress In Electromagnetics Research, Vol. 106, 75-89, 2010.        Google Scholar

34. Gruber, F. K., E. A. Marengo, and A. J. Devaney, "Time-reversal imaging with multiple signal classification considering multiple scattering between the targets," J. Acoust. Soc. Am., Vol. 115, No. 6, 3042-3047, Jun. 2004.        Google Scholar